Promotional offers may not be valid for all members and are only available for a limited time. Requires high-speed internet connection (ISP fees apply). Select regions ( ) and devices streaming limits apply, server availability and wait times may vary. IBM Institute for Business Value Performance Data and Benchmarking Program.Requires Xbox Game Pass Ultimate subscription and supported game may require supported controller (all sold separately). 12From IBV study “Application modernization on the mainframe” IT application development, maintenance, and operations performance survey data.11 Tailored Fit Pricing for IBM Z Offers Cost Effective Workload Growth Compared to Three Public Cloud Examples, IBM IT Economic Consulting and Research, May 2021.10 Performance results shown was obtained in a controlled, isolated environments using IBM internal test suite.9 IBM Hybrid Data Management Whitepaper – Data fabric architecture delivers 3 instant benefits, May 2021.x86 configuration: The OCP Master and Worker nodes ran on KVM on RHEL 8.2 on 30 Skylake Intel® Xeon® Gold CPU 2.30GHz with Hyperthreading turned on, 448 GB memory, RAID5 local SSD storage, and 10Gbit Ethernet connection to the PostgreSQL LPAR. The OCP Master and Worker nodes ran on z/VM 7.1 in a LPAR with 30 dedicated IFLs, 448 GB memory, DASD storage, and Hipersocket connection to the PostgreSQL LPAR. z15 T01 configuration: The PostgreSQL database ran in a LPAR with 12 dedicated IFLs, 256 GB memory, 1TB FlashSystem 900 storage, RHEL 7.7 (SMT mode). 3 OLTP workload instances were run in parallel driven remotely from JMeter 5.2.1 with 16 parallel threads. DISCLAIMER: This is an IBM internal study designed to replicate banking OLTP workload usage in the marketplace deployed on OpenShift Container Platform (OCP) 4.4.12 on z15 T01 using z/VM versus on compared x86 platform using KVM accessing the same PostgreSQL 12 database running in a z15 T01 LPAR. 8Internal performance tests by Stefan Wirag and team – “Run an OLTP workload on OpenShift Container Platform 4.4 with up to 4.7x lower latency co-located to the used database on z15 T01 using a Hipersocket connection versus on compared x86 platform using a 10 Gb TCP/IP connection to the same database”.Price comparison is based on a three year total cost of ownership including HW, SW, networking, floor space, people, energy/cooling costs and three years of service & support. prices as of from our website and x86 hardware pricing is based on IBM analysis of U.S. Prices, where applicable, are based on U.S. IBM’s internal workload studies are not benchmark applications. The results were obtained under laboratory conditions, not in an actual customer environment. Both environments used jMeter to drive maximum throughput against two OLTP workload instances and were sized to deliver comparable results (15,487 responses per second (RPS) with IBM Z and 14,325 RPS with x86). The load balancer was a 2-socket 8-core server with a total of 384 GB memory. Compared x86 models for the cluster were all 2-socket servers containing a mix of 6-core, 8- core, 12-core and 16-core Haswell, Skylake and Ivy Bridge x86 processors using a total of 136 cores with a total of 2,304 GB memory. Each guest had access to all vCPUs of the KVM server on which it was running. For x86 storage each guest operating system was configured with a 100 GB of virtual disk. The x86 configuration was comprised of six servers running KVM with 15 guests (three masters and twelve workers) for the OpenShift cluster version 4.3.5 with RHCOS and a seventh server was used for the load balancer on RHEL 7.6. The OpenShift cluster version 4.2.20, using Red Hat Enterprise Linux CoreOS (RHCOS) for IBM Z, was running across seven z/VM guests and the remaining eighth z/VM guest was running the OpenShift load balancer. IBM Storage DS8886 was used to create eight 250 GB DASD minidisks for each of the eight z/VM guests running in the LPARs. One IFL and a total of 128 GB memory were allocated to the second LPAR for the OpenShift load balancer. Seven IFLs and a total of 640 GB memory were allocated to one LPAR for three OpenShift masters and four worker nodes. 7 This is an IBM internal study designed to replicate banking OLTP workload usage in the marketplace on an IBM LinuxOne III T02 using eight IFLs across two LPARs.
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1 Based on an IBM commissioned study measured across five key value areas: business acceleration, developer productivity, infrastructure costs, regulatory and compliance, deployment flexibility:.